Lead Software Engineer
Mastercard
Lead Software Engineer
Position Overview
Have you ever wanted to be part of something BIG?
Now is the time to make an immediate impact at a leading global technology company, Mastercard.
This role is part of the AI&DPE Data Engineering platform team, responsible for building and evolving large scale backend data systems, real time and batch pipelines, and AI enabled services that power analytics, decisioning, and automation across the organization.
This is a backend engineering role, focused on Scala/Python/Java, distributed data platforms (Cloudera/Spark), and cloud based architectures, with a strong emphasis on AI agent creation and intelligent automation. Visualization tools (e.g., Qlik) are consumers of the platform, not the core focus of this role.
You will work with massive transactional datasets, modern big data and cloud platforms, and AI driven workflows to transform how Mastercard processes, enriches, and operationalizes data at global scale.
Backend & Data Platform Engineering Design, develop, and maintain backend services and data pipelines using Scala, Python and Java
Build and optimize batch and streaming workloads on Cloudera Data Platform (CDP) using Spark
Work with Cloudera Manager to support platform configuration, monitoring, performance tuning, and operational stability
Design and implement high quality datamarts and curated datasets with strong emphasis on data integrity, performance, and reliability AI Agents & Intelligent Automation Design, build, and integrate AI powered agents that operate to support: Anomaly detection and operational intelligence
workflow automation Apply generative AI driven, or rule based agents to reduce manual effort and improve scalability across backend systems Cloud & Modern Data Architecture Build and support data and compute workloads in AWS environments
Leverage Databricks for large scale data processing, advanced analytics
Contribute to cloud native and hybrid architectures integrating on prem and cloud platforms Integration & Downstream Enablement Enable downstream consumers (analytics, visualization, reporting tools such as Qlik) through well designed, reliable backend data interfaces
Partner with analytics, fraud, and business teams to ensure backend systems meet evolving needs without compromising platform stability Documentation & Collaboration Create clear technical documentation, including architecture diagrams, data flows, and design specifications
Participate in Agile/Scrum ceremonies and cross functional design reviews
Mentor and upskill team members in backend engineering, big data, and AI agent concepts KNOWLEDGE AND SKILL REQUIREMENTS
Required BS/BA degree in Computer Science, Engineering, Information Systems, or related field
Strong handson experience with Scala,Python/Java in backend or data intensive systems
Experience working with Cloudera Data Platform (CDP) and Spark
Familiarity with Cloudera Manager for cluster administration, monitoring, or troubleshooting
Strong understanding of data modeling concepts, distributed systems, and large scale data processing
Excellent problem solving skills and ability to work independently in complex environments GOOD TO HAVE / STRONGLY PREFERRED Hands on experience building, integrating, or supporting AI driven agents or intelligent automation solutions
Experience with Databricks for data engineering or ML workloads
Experience working in AWS (e.g., S3, EC2, EMR, Glue, Lambda, IAM, or equivalent services)
Knowledge of streaming and big‑data technologies:
Kafka
Hadoop ecosystem
Hive/Impala
Exposure to model monitoring, or AI platform enablement
Experience with ETL tools such as Informatica
Experience working in Agile / Scrum teams within large enterprises Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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